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Analyzing the Robustness of Scheduling Algorithms Using Divisible Load Theory on Heterogeneous Systems

机译:基于可分负荷理论的异构系统调度算法的鲁棒性分析。

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Arbitrarily divisible workloads are present in a large class of scientific applications, such as N-body simulations, Monte Carlo simulations, CFD applications, and others. Divisible load theory (DLT) provides a tractable approach to the scheduling of arbitrarily divisible workloads. High performance parallel and distributed systems may operate in an unreliable environment, and a robust system is expected to deliver a certain level of performance when operating in such an environment. To the best of our knowledge, this is the first work to study and analyze the robustness of DLT algorithms. Using simulations, a study of the resiliency of DLT to variations in certain system features, such as the network latency, the network bandwidth, and the processor availability on a single level tree topology is presented. The simulation results demonstrate the robustness of the DLT algorithms under certain application and system characteristics.
机译:任意可分割的工作负载存在于大量的科学应用程序中,例如N体模拟,蒙特卡洛模拟,CFD应用程序等。可分割负载理论(DLT)为调度任意可分割工作负载提供了一种易于处理的方法。高性能并行和分布式系统可能会在不可靠的环境中运行,而健壮的系统在此类环境中运行时有望提供一定级别的性能。据我们所知,这是研究和分析DLT算法的鲁棒性的第一项工作。使用模拟,研究了DLT对某些系统功能(例如网络延迟,网络带宽和单级树拓扑上的处理器可用性)变化的弹性。仿真结果证明了DLT算法在某些应用和系统特性下的鲁棒性。

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